Conference paper Open Access

A Multilateral Privacy Impact Analysis Method for Android Apps

Hatamian, Majid; Momen, Nurul; Fritsch, Lothar; Rannenberg, Kai


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <controlfield tag="005">20200120170217.0</controlfield>
  <controlfield tag="001">3248889</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="g">APF</subfield>
    <subfield code="a">Annual Privacy Forum 2019</subfield>
    <subfield code="c">Rome, Italy</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Karlstad University</subfield>
    <subfield code="a">Momen, Nurul</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Karlstad University</subfield>
    <subfield code="a">Fritsch, Lothar</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Goethe University Frankfurt</subfield>
    <subfield code="a">Rannenberg, Kai</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">946462</subfield>
    <subfield code="z">md5:c823fd25b6dd3c99cb4a673e01825097</subfield>
    <subfield code="u">https://zenodo.org/record/3248889/files/Hatamian-apf2019.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="y">Conference website</subfield>
    <subfield code="u">https://privacyforum.eu/</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-06-08</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:3248889</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Goethe University Frankfurt</subfield>
    <subfield code="a">Hatamian, Majid</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">A Multilateral Privacy Impact Analysis Method for Android Apps</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">675730</subfield>
    <subfield code="a">Privacy and Usabiliy</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Smartphone apps have the power to monitor most of people&amp;rsquo;s private lives. Apps can permeate private spaces, access and map social relationships, monitor whereabouts and chart people&amp;rsquo;s activities in digital and/or real world. We are therefore interested in how much information a particular app can and intends to retrieve in a smartphone. Privacy-friendliness of smartphone apps is typically measured based on single-source analyses, which in turn, does not provide a comprehensive measurement regarding the actual privacy risks of apps. This paper presents a multi-source method for privacy analysis and data extraction transparency of Android apps. We describe how we generate several data sets derived from privacy policies, app manifestos, user reviews and actual app profiling at run time. To evaluate our method, we present results from a case study carried out on ten popular fitness and exercise apps. Our results revealed interesting differences concerning the potential privacy impact of apps, with some of the apps in the test set violating critical privacy principles. The result of the case study shows large differences that can help make relevant app choices.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="b">Springer</subfield>
    <subfield code="t">Privacy Technologies and Policy</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.1007/978-3-030-21752-5_7</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>
993
365
views
downloads
Views 993
Downloads 365
Data volume 345.5 MB
Unique views 956
Unique downloads 338

Share

Cite as